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20182023
most citedDAG-GNN: DAG Structure Learning with Graph Neural Networks

129 citations · 372 across the 27 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Fight Perturbations with Perturbations: Defending Adversarial Attacks via Neuron Influence

Ruoxi Chen, Haibo Jin, Haibin Zheng +2

The vulnerabilities of deep learning models towards adversarial attacks have attracted increasing attention, especially when models are deployed in security-critical domains. Numer…

math.OC2021★ 3 cited

Proportional-Integral Projected Gradient Method for Infeasibility Detection in Conic Optimization

Yue Yu, Ufuk Topcu

A constrained optimization problem is primal infeasible if its constraints cannot be satisfied, and dual infeasible if the constraints of its dual problem cannot be satisfied. We p…

cs.LG2021★ 3 cited

DAGs with No Curl: An Efficient DAG Structure Learning Approach

Yue Yu, Tian Gao, Naiyu Yin +1

Recently directed acyclic graph (DAG) structure learning is formulated as a constrained continuous optimization problem with continuous acyclicity constraints and was solved iterat…

cs.CL2021★ 94 cited

PanGu-: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation

Wei Zeng, Xiaozhe Ren, Teng Su +35

Large-scale Pretrained Language Models (PLMs) have become the new paradigm for Natural Language Processing (NLP). PLMs with hundreds of billions parameters such as GPT-3 have demon…

eess.SY2021★ 5 cited

On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems' Fundamental Lemma

Yue Yu, Shahriar Talebi, Henk J. van Waarde +3

Willems' fundamental lemma asserts that all trajectories of a linear time-invariant system can be obtained from a finite number of measured ones, assuming that controllability and…